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Field C, Wang XY, Costantine MM, Landon MB, Grobman WA, Venkatesh KK. Social Determinants of Health and Diabetes in Pregnancy. Am J Perinatol 2024. [PMID: 39209304 DOI: 10.1055/a-2405-2409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Social determinants of health (SDOH) are the conditions in which people are born, grow, work, live, and age. SDOH are systemic factors that may explain, perpetuate, and exacerbate disparities in health outcomes for different populations and can be measured at both an individual and neighborhood or community level (iSDOH, nSDOH). In pregnancy, increasing evidence shows that adverse iSDOH and/or nSDOH are associated with a greater likelihood that diabetes develops, and that when it develops, there is worse glycemic control and a greater frequency of adverse pregnancy outcomes. Future research should not only continue to examine the relationships between SDOH and adverse pregnancy outcomes with diabetes but should determine whether multi-level interventions that seek to mitigate adverse SDOH result in equitable maternal care and improved patient health outcomes for pregnant individuals living with diabetes. KEY POINTS: · SDOH are conditions in which people are born, grow, work, live, and age.. · SDOH are systemic factors that may explain, perpetuate, and exacerbate disparities in health outcomes.. · SDOH can be measured at the individual and neighborhood level.. · Adverse SDOH are associated with worse outcomes for pregnant individuals living with diabetes.. · Interventions that mitigate adverse SDOH to improve maternal health equity and outcomes are needed..
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Affiliation(s)
- Christine Field
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Xiao-Yu Wang
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Maged M Costantine
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Mark B Landon
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - William A Grobman
- Department of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Kartik K Venkatesh
- Department of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
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Wang H, Gholami S, Xu W, Samavatekbatan A, Sleipness O, Tassinary LG. Where and how to invest in greenspace for optimal health benefits: a systematic review of greenspace morphology and human health relationships. Lancet Planet Health 2024; 8:e574-e587. [PMID: 39122326 DOI: 10.1016/s2542-5196(24)00140-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 05/22/2024] [Accepted: 06/04/2024] [Indexed: 08/12/2024]
Abstract
Research on the relationship between greenspace morphology and health is a growing field that informs the spatial design of greenspace to enhance health outcomes. This study reviews the current progress, methodologies, and knowledge gaps in this area. From a database search of 272 940 English articles and 39 053 Chinese articles up to April 18, 2024, we identified 22 and 7 studies on the topic for further evaluation. Predominantly cross-sectional and neighbourhood-scale analyses were conducted using land cover maps ranging from 0·25 to 100 meters in resolution. Six primary characteristics of greenspace morphology have been studied, including size, shape, fragmentation, connectedness, aggregation, and diversity. While associations between greenspace morphology and health outcomes have been observed, both their reliability and generalisability remain suggestive due to ecological study designs and heterogeneity among studies. Future research should prioritise individual-level prospective cohorts and intervention studies. Exploring mechanisms linking greenspace morphology and health, determining optimal map resolution, and distinguishing it from greenness magnitude in statistical analysis is essential. This evidence is crucial for health-promoting greenspace planning and should be routinely integrated into urban epidemiological research.
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Affiliation(s)
- Huaqing Wang
- Department of Landscape Architecture and Environmental Planning, Utah State University, Logan, UT, USA.
| | - Simin Gholami
- Department of Landscape Architecture and Environmental Planning, Utah State University, Logan, UT, USA
| | - Wenyan Xu
- Department of Landscape Architecture and Environmental Planning, Utah State University, Logan, UT, USA
| | | | - Ole Sleipness
- Department of Landscape Architecture and Environmental Planning, Utah State University, Logan, UT, USA
| | - Louis G Tassinary
- School of Performance, Visualization and Fine Arts, Texas A&M University, College Station, TX, USA
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Martenies SE, Oloo A, Magzamen S, Ji N, Khalili R, Kaur S, Xu Y, Yang T, Bastain TM, Breton CV, Farzan SF, Habre R, Dabelea D. Independent and joint effects of neighborhood-level environmental and socioeconomic exposures on body mass index in early childhood: The environmental influences on child health outcomes (ECHO) cohort. ENVIRONMENTAL RESEARCH 2024; 253:119109. [PMID: 38751004 DOI: 10.1016/j.envres.2024.119109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 04/19/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024]
Abstract
Past studies support the hypothesis that the prenatal period influences childhood growth. However, few studies explore the joint effects of exposures that occur simultaneously during pregnancy. To explore the feasibility of using mixtures methods with neighborhood-level environmental exposures, we assessed the effects of multiple prenatal exposures on body mass index (BMI) from birth to age 24 months. We used data from two cohorts: Healthy Start (n = 977) and Maternal and Developmental Risks from Environmental and Social Stressors (MADRES; n = 303). BMI was measured at delivery and 6, 12, and 24 months and standardized as z-scores. We included variables for air pollutants, built and natural environments, food access, and neighborhood socioeconomic status (SES). We used two complementary statistical approaches: single-exposure linear regression and quantile-based g-computation. Models were fit separately for each cohort and time point and were adjusted for relevant covariates. Single-exposure models identified negative associations between NO2 and distance to parks and positive associations between low neighborhood SES and BMI z-scores for Healthy Start participants; for MADRES participants, we observed negative associations between O3 and distance to parks and BMI z-scores. G-computations models produced comparable results for each cohort: higher exposures were generally associated with lower BMI, although results were not significant. Results from the g-computation models, which do not require a priori knowledge of the direction of associations, indicated that the direction of associations between mixture components and BMI varied by cohort and time point. Our study highlights challenges in assessing mixtures effects at the neighborhood level and in harmonizing exposure data across cohorts. For example, geospatial data of neighborhood-level exposures may not fully capture the qualities that might influence health behavior. Studies aiming to harmonize geospatial data from different geographical regions should consider contextual factors when operationalizing exposure variables.
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Affiliation(s)
- Sheena E Martenies
- Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL, USA; Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA; Family Resiliency Center, University of Illinois Urbana-Champaign, Urbana, IL, USA.
| | - Alice Oloo
- Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Sheryl Magzamen
- Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Nan Ji
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roxana Khalili
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Simrandeep Kaur
- Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Yan Xu
- Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Tingyu Yang
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V Breton
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Shohreh F Farzan
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rima Habre
- Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA
| | - Dana Dabelea
- Epidemiology, Colorado School of Public Health, Aurora, CO, USA; Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Myers CA. Impact of the Neighborhood Food Environment on Dietary Intake and Obesity: a Review of the Recent Literature. Curr Diab Rep 2023; 23:371-386. [PMID: 38008848 DOI: 10.1007/s11892-023-01529-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 11/28/2023]
Abstract
PURPOSE OF REVIEW The built environment impacts obesogenic behaviors and in turn body weight outcomes. This review summarizes recent research demonstrating environmental impacts on dietary intake and obesity with a specific focus on the neighborhood food environment. RECENT FINDINGS In the previous five years, an abundance of reviews and research studies have been undertaken to elucidate how the neighborhood food environment impacts diet and obesity. This includes studies using primary data collection and secondary data analyses in various populations across the globe. Taken together, current research presents mixed evidence on the impact of the neighborhood food environment on both dietary intake and obesity. While there is some evidence that certain features of the neighborhood food environment influence health behaviors and outcomes in particular populations, it is imperative to acknowledge the complexity of how neighborhood features interact and constantly evolve when considering place-based influences on health behaviors and outcomes.
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Affiliation(s)
- Candice A Myers
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.
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Carlson NS, Carlson MS, Erickson EN, Higgins M, Britt AJ, Amore AD. Disparities by race/ethnicity in unplanned cesarean birth among healthy nulliparas: a secondary analysis of the nuMoM2b dataset. BMC Pregnancy Childbirth 2023; 23:342. [PMID: 37173616 PMCID: PMC10176719 DOI: 10.1186/s12884-023-05667-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 05/02/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Racial disparities exist in maternal morbidity and mortality, with most of these events occurring in healthy pregnant people. A known driver of these outcomes is unplanned cesarean birth. Less understood is to what extent maternal presenting race/ethnicity is associated with unplanned cesarean birth in healthy laboring people, and if there are differences by race/ethnicity in intrapartum decision-making prior to cesarean birth. METHODS This secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) dataset involved nulliparas with no significant health complications at pregnancy onset who had a trial of labor at ≥ 37 weeks with a singleton, non-anomalous fetus in cephalic presentation (N = 5,095). Logistic regression models were used to examine associations between participant-identified presenting race/ethnicity and unplanned cesarean birth. Participant-identified presenting race/ethnicity was used to capture the influence of racism on participant's healthcare experiences. RESULTS Unplanned cesarean birth occurred in 19.6% of labors. Rates were significantly higher among Black- (24.1%) and Hispanic- (24.7%) compared to white-presenting participants (17.4%). In adjusted models, white participants had 0.57 (97.5% CI [0.45-0.73], p < 0.001) lower odds of unplanned cesarean birth compared to Black-presenting participants, while Hispanic-presenting had similar odds as Black-presenting people. The primary indication for cesarean birth among Black- and Hispanic- compared to white-presenting people was non-reassuring fetal heart rate in the setting of spontaneous labor onset. CONCLUSIONS Among healthy nulliparas with a trial of labor, white-presenting compared to Black or Hispanic-presenting race/ethnicity was associated with decreased odds of unplanned cesarean birth, even after adjustment for pertinent clinical factors. Future research and interventions should consider how healthcare providers' perception of maternal race/ethnicity may bias care decisions, leading to increased use of surgical birth in low-risk laboring people and racial disparities in birth outcomes.
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Affiliation(s)
- Nicole S Carlson
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road NE, Atlanta, GA, 30322, USA.
| | - Madelyn S Carlson
- CUNY Graduate School of Public Health & Health Policy, New York, NY, USA
| | | | - Melinda Higgins
- Biostatistics and Data Core in the Office of Nursing Research, Emory University Nell Hodgson Woodruff School of Nursing, Atlanta, GA, USA
| | - Abby J Britt
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road NE, Atlanta, GA, 30322, USA
| | - Alexis Dunn Amore
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road NE, Atlanta, GA, 30322, USA
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Built and Social Environments, Environmental Justice, and Maternal Pregnancy Complications. CURRENT OBSTETRICS AND GYNECOLOGY REPORTS 2022. [DOI: 10.1007/s13669-022-00339-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Abstract
Purpose of Review
The Environmental Justice Movement centers on addressing inequitable distribution of environmental harms in marginalized communities. It has been commonly understood as the disproportionate concentration of environmental pollutants or hazards. As such, much of the work on environmental harms and maternal pregnancy complications have focused on environmental toxins. This scoping review surveyed the literature exploring the built and social environment factors and maternal pregnancy complications among racially marginalized women and highlights how an environmental justice framework can inform policy interventions for maternal health inequities caused by structural racism in built and social environments.
Recent Findings
The literature examining the association between neighborhood level built and social environment factors and maternal pregnancy complications in the last five years is sparse. When excluding environmental toxins, we identified 16 studies that fit our criteria of neighborhood-level environmental exposure, with the majority focused on built environment factors, specifically proximity to greenspace and food environment.
Summary
We identified a few important gaps and opportunities for future research in this area. First is a need to explore additional built environment elements. Secondly, extensive research is needed on the social environment. Third is a critical understanding to incorporate structural racism and cultural perspectives to better understand these relationships in minoritized populations and highlight the intersection between environmental hazards concentration and their structural causes. Finally, an environmental justice framework is critically needed in the interpretation and translation of this literature to inform policy solutions that can counteract the harms in racially marginalized communities and improve health.
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Silva TPRD, Viana TGF, Pessoa MC, Felisbino-Mendes MS, Inácio MLC, Mendes LL, Velasquez-Melendez G, Martins EF, Matozinhos FP. Environmental and individual factors associated with gestational weight gain. BMC Public Health 2022; 22:540. [PMID: 35303846 PMCID: PMC8933974 DOI: 10.1186/s12889-022-12948-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 03/09/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Environmental factors have an impact on inappropriate food choices and sedentary lifestyle, and both individually and in combination these factors favour improper gestational weight gain (GWG) and consequent maternal and neonatal health problems. The objective of this study was to analyze the environmental and individual factors associated with GWG. METHODS Data were from "Born in Belo Horizonte: Survey on childbirth and birth", a hospital-based retrospective cohort of 506 pregnant women with deliveries in public and private maternity hospitals in Belo Horizonte, Minas Gerais. Data were collected via face-to-face interviews from November 2011 to March 2013. The outcome variable of this study was the GWG categorized based on the Institute of Medicine Guidelines. Explanatory environmental variables included the availability and access to food environment and places available for physical activity in the neighborhood. Explanatory individual variables included socioeconomic and demographic, obstetric and childbirth variables. Generalized estimating equations examined the association of environmental and individual factors with insufficient or excessive GWG. RESULTS The final sample consisted of 506 mothers. There was 36.4% pregnant women showing excessive GWG and 22.7% showing GWG below the recommended interval. Regarding excessive GWG, there was a positive association with the number of mixed food purchasing establishments close to the place of residence, pre-pregnancy body mass index in the categories of overweight and obesity, arterial hypertension and the private sector as the predominant place for prenatal consultations. CONCLUSION GWG outside of the recommended interval was associated with individual and environmental factors, and most pregnant women had insufficient or excessive gestational weight gain. Such results can complement previously published evidence, important for creating more effective strategies for the prevention of excessive and inadequate GWG and the consequent problems related to it during pregnancy.
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Affiliation(s)
- Thales Philipe Rodrigues da Silva
- Departamento de Enfermagem Materno Infantil E Saúde Pública, Postdoctoral Fellow, Ph.D in Health Sciences, Child and Adolescent Health, Universidade Federal de Minas Gerais. Escola de Enfermagem, Programa de Pós-Graduação Em Enfermagem, Belo Horizonte, MG, Brazil
| | | | - Milene Cristine Pessoa
- PhD. Professor, Departamento de Nutrição, Universidade Federal de Minas Gerais. Escola de Enfermagem, Belo Horizonte, MG, Brazil
| | - Mariana Santos Felisbino-Mendes
- PhD. Professor, Departamento de Enfermagem Materno Infantil E Saúde Pública, Universidade Federal de Minas Gerais. Escola de Enfermagem, Belo Horizonte, MG, Brazil
| | | | - Larissa Loures Mendes
- PhD. Professor, Departamento de Nutrição, Universidade Federal de Minas Gerais. Escola de Enfermagem, Belo Horizonte, MG, Brazil
| | - Gustavo Velasquez-Melendez
- PhD. Professor, Departamento de Enfermagem Materno Infantil E Saúde Pública, Universidade Federal de Minas Gerais. Escola de Enfermagem, Belo Horizonte, MG, Brazil
| | - Eunice Francisca Martins
- PhD. Professor, Departamento de Enfermagem Materno Infantil E Saúde Pública, Universidade Federal de Minas Gerais. Escola de Enfermagem, Belo Horizonte, MG, Brazil
| | - Fernanda Penido Matozinhos
- PhD. Professor, Departamento de Enfermagem Materno Infantil E Saúde Pública, Universidade Federal de Minas Gerais. Escola de Enfermagem, Belo Horizonte, MG, Brazil.
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